The Chief Clinical Informatics Officer (CCIO).
Author(s): Kannry, Joseph, Fridsma, Doug
DOI: 10.1093/jamia/ocw034
Author(s): Kannry, Joseph, Fridsma, Doug
DOI: 10.1093/jamia/ocw034
Variations of clinical terms are very commonly encountered in clinical texts. Normalization methods that use similarity measures or hand-coded approximation rules for matching clinical terms to standard terminologies have limited accuracy and coverage.
Author(s): Kate, Rohit J
DOI: 10.1093/jamia/ocv108
Develop an efficient non-clinical method for identifying promising computer-based protocols for clinical study. An in silico comparison can provide information that informs the decision to proceed to a clinical trial. The authors compared two existing computer-based insulin infusion protocols: eProtocol-insulin from Utah, USA, and Glucosafe from Denmark.
Author(s): Wong, Anthony F, Pielmeier, Ulrike, Haug, Peter J, Andreassen, Steen, Morris, Alan H
DOI: 10.1093/jamia/ocv067
The Health Information Technology for Economic and Clinical Health (HITECH) Act has distributed billions of dollars to physicians as incentives for adopting certified electronic health records (EHRs) through the meaningful use (MU) program ultimately aimed at improving healthcare outcomes. The authors examine the extent to which the MU program impacted the EHR adoption curve that existed prior to the Act.
Author(s): Mennemeyer, Stephen T, Menachemi, Nir, Rahurkar, Saurabh, Ford, Eric W
DOI: 10.1093/jamia/ocv103
Traditional Chinese medicine (TCM) is a unique and complex medical system that has developed over thousands of years. This article studies the problem of automatically extracting meaningful relations of entities from TCM literature, for the purposes of assisting clinical treatment or poly-pharmacology research and promoting the understanding of TCM in Western countries.
Author(s): Wan, Huaiyu, Moens, Marie-Francine, Luyten, Walter, Zhou, Xuezhong, Mei, Qiaozhu, Liu, Lu, Tang, Jie
DOI: 10.1093/jamia/ocv092
This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA).
Author(s): Duggirala, Hesha J, Tonning, Joseph M, Smith, Ella, Bright, Roselie A, Baker, John D, Ball, Robert, Bell, Carlos, Bright-Ponte, Susan J, Botsis, Taxiarchis, Bouri, Khaled, Boyer, Marc, Burkhart, Keith, Condrey, G Steven, Chen, James J, Chirtel, Stuart, Filice, Ross W, Francis, Henry, Jiang, Hongying, Levine, Jonathan, Martin, David, Oladipo, Taiye, O'Neill, Rene, Palmer, Lee Anne M, Paredes, Antonio, Rochester, George, Sholtes, Deborah, Szarfman, Ana, Wong, Hui-Lee, Xu, Zhiheng, Kass-Hout, Taha
DOI: 10.1093/jamia/ocv063
To answer a "grand challenge" in clinical decision support, the authors produced a recommender system that automatically data-mines inpatient decision support from electronic medical records (EMR), analogous to Netflix or Amazon.com's product recommender.
Author(s): Chen, Jonathan H, Podchiyska, Tanya, Altman, Russ B
DOI: 10.1093/jamia/ocv091
Health information technology (HIT) has the potential to play a significant role in the management of cancer. The purpose of this review is to identify and examine empirical studies that investigate the impact of HIT in cancer care on different levels of the care continuum.
Author(s): Tarver, Will L, Menachemi, Nir
DOI: 10.1093/jamia/ocv064
Healthcare providers sometimes receive multiple continuity of care documents (CCDs) for a single patient encompassing the patient's various encounters and medical history recorded in different information systems. It is cumbersome for providers to explore different pages of CCDs to find specific data which can be duplicated or even conflicted. This study describes initial steps toward a modular system that integrates and de-duplicates multiple CCDs into one consolidated document for viewing [...]
Author(s): Hosseini, Masoud, Meade, Jonathan, Schnitzius, Jamie, Dixon, Brian E
DOI: 10.1093/jamia/ocv084
Social determinants of health significantly impact morbidity and mortality; however, physicians lack ready access to this information in patient care and population management. Just as traditional vital signs give providers a biometric assessment of any patient, "community vital signs" (Community VS) can provide an aggregated overview of the social and environmental factors impacting patient health. Knowing Community VS could inform clinical recommendations for individual patients, facilitate referrals to community services [...]
Author(s): Bazemore, Andrew W, Cottrell, Erika K, Gold, Rachel, Hughes, Lauren S, Phillips, Robert L, Angier, Heather, Burdick, Timothy E, Carrozza, Mark A, DeVoe, Jennifer E
DOI: 10.1093/jamia/ocv088